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Information Technology 🏢 Full Time ⭐️ Verified

Principal AI Architect (2026 Division) - San Francisco, CA

2026 Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are a pioneering force in next-generation technology, defining the roadmap for the 2026 era. We are seeking a visionary Principal AI Architect to lead our internal 'Project 2026' initiative. In this role, you will design and deploy scalable, autonomous AI systems that will define the future of our enterprise. If you are passionate about pushing the boundaries of what is possible in Generative AI and Large Language Models (LLMs), we want to hear from you.

Why Join Us?

  • Work on cutting-edge technology that defines the 2026 landscape.
  • Competitive compensation and equity package.
  • Flexible remote-first policy with a hub in San Francisco.
  • Top-tier talent and engineering culture.

Responsibilities

  • Architect and implement end-to-end AI solutions using cutting-edge frameworks (e.g., PyTorch, TensorFlow, LangChain) for the 2026 initiative.
  • Lead the design of scalable Large Language Models (LLMs) and ensure ethical AI deployment.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product workflows.
  • Optimize model performance, latency, and inference costs for production environments.
  • Define best practices for MLOps, data governance, and AI security.
  • Conduct technical mentorship and code reviews for junior and senior engineers.

Qualifications

  • Ph.D. or Master's degree in Computer Science, Machine Learning, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specializing in AI/ML architecture.
  • Deep expertise in Python, C++, and modern deep learning libraries.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of deploying production-grade AI models at scale.
  • Excellent communication skills with the ability to translate complex technical concepts for stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps AWS Kubernetes LLMs Generative AI System Architecture

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